Articles | Volume 8, issue 8
https://doi.org/10.5194/gmd-8-2587-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-2587-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
14 Aug 2015
Model description paper |
| 14 Aug 2015
Photolysis rates in correlated overlapping cloud fields: Cloud-J 7.3c
Earth System Science Department, University of California, Irvine, California, USA
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- Investigation of the Influence of Atmospheric Scattering on Photolysis Rates Using the Cloud-J Module A. Imanova et al. https://doi.org/10.3390/atmos16010058
- Assessing Uncertainties and Approximations in Solar Heating of the Climate System J. Hsu & M. Prather https://doi.org/10.1029/2020MS002131
- Mountain-wave-induced polar stratospheric clouds and their representation in the global chemistry model ICON-ART M. Weimer et al. https://doi.org/10.5194/acp-21-9515-2021
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- Evaluation of simulated photolysis rates and their response to solar irradiance variability T. Sukhodolov et al. https://doi.org/10.1002/2015JD024277
- A radiative transfer module for calculating photolysis rates and solar heating in climate models: Solar-J v7.5 J. Hsu et al. https://doi.org/10.5194/gmd-10-2525-2017
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- Aerosol iodine recycling is a major control on tropospheric reactive iodine abundance A. Moon et al. https://doi.org/10.5194/acp-26-2353-2026
- Resetting tropospheric OH and CH 4 lifetime with ultraviolet H 2 O absorption M. Prather & L. Zhu https://doi.org/10.1126/science.adn0415
- A round Earth for climate models M. Prather & J. Hsu https://doi.org/10.1073/pnas.1908198116
- Optimizing UV Index determination from broadband irradiances K. Tereszchuk et al. https://doi.org/10.5194/gmd-11-1093-2018
- Chemistry module for the Earth system model S. Smyshlyaev et al. https://doi.org/10.1515/rnam-2024-0030
25 citations as recorded by crossref.
- Implementation of solar UV and energetic particle precipitation within the LINOZ scheme in ICON-ART M. Ramezani Ziarani et al. https://doi.org/10.5194/gmd-18-7891-2025
- Mitigation of ozone vegetation damage in China through sector-based emission control towards carbon neutrality Z. Ye et al. https://doi.org/10.1016/j.envres.2026.123946
- Global atmospheric chemistry – which air matters M. Prather et al. https://doi.org/10.5194/acp-17-9081-2017
- Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemistry-transport model using Cloud-J v7.3e W. van Caspel et al. https://doi.org/10.5194/gmd-16-7433-2023
- ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations J. Schröter et al. https://doi.org/10.5194/gmd-11-4043-2018
- Investigation of the Influence of Atmospheric Scattering on Photolysis Rates Using the Cloud-J Module A. Imanova et al. https://doi.org/10.3390/atmos16010058
- Assessing Uncertainties and Approximations in Solar Heating of the Climate System J. Hsu & M. Prather https://doi.org/10.1029/2020MS002131
- Mountain-wave-induced polar stratospheric clouds and their representation in the global chemistry model ICON-ART M. Weimer et al. https://doi.org/10.5194/acp-21-9515-2021
- How well can global chemistry models calculate the reactivity of short-lived greenhouse gases in the remote troposphere, knowing the chemical composition M. Prather et al. https://doi.org/10.5194/amt-11-2653-2018
- Photochemical impacts of haze pollution in an urban environment M. Hollaway et al. https://doi.org/10.5194/acp-19-9699-2019
- The atmospheric composition component of the ICON modeling framework: ICON-ART version 2025.10 G. Hoshyaripour et al. https://doi.org/10.5194/gmd-19-1645-2026
- An Efficient and Accurate Algorithm for Computing Grid-Averaged Solar Fluxes for Horizontally Inhomogeneous Clouds Z. Jin & A. Lacis https://doi.org/10.1175/JAS-D-20-0167.1
- The use of QBO, ENSO, and NAO perturbations in the evaluation of GOME-2 MetOp A total ozone measurements K. Eleftheratos et al. https://doi.org/10.5194/amt-12-987-2019
- Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission S. Hall et al. https://doi.org/10.5194/acp-18-16809-2018
- Possible Effects of Greenhouse Gases to Ozone Profiles and DNA Active UV-B Irradiance at Ground Level K. Eleftheratos et al. https://doi.org/10.3390/atmos11030228
- Improvements to the representation of BVOC chemistry–climate interactions in UKCA (v11.5) with the CRI-Strat 2 mechanism: incorporation and evaluation J. Weber et al. https://doi.org/10.5194/gmd-14-5239-2021
- Evaluation of simulated photolysis rates and their response to solar irradiance variability T. Sukhodolov et al. https://doi.org/10.1002/2015JD024277
- A radiative transfer module for calculating photolysis rates and solar heating in climate models: Solar-J v7.5 J. Hsu et al. https://doi.org/10.5194/gmd-10-2525-2017
- An emission module for ICON-ART 2.0: implementation and simulations of acetone M. Weimer et al. https://doi.org/10.5194/gmd-10-2471-2017
- Evaluating the contribution of the unexplored photochemistry of aldehydes on the tropospheric levels of molecular hydrogen (H2) M. Pérez-Peña et al. https://doi.org/10.5194/acp-22-12367-2022
- Aerosol iodine recycling is a major control on tropospheric reactive iodine abundance A. Moon et al. https://doi.org/10.5194/acp-26-2353-2026
- Resetting tropospheric OH and CH 4 lifetime with ultraviolet H 2 O absorption M. Prather & L. Zhu https://doi.org/10.1126/science.adn0415
- A round Earth for climate models M. Prather & J. Hsu https://doi.org/10.1073/pnas.1908198116
- Optimizing UV Index determination from broadband irradiances K. Tereszchuk et al. https://doi.org/10.5194/gmd-11-1093-2018
- Chemistry module for the Earth system model S. Smyshlyaev et al. https://doi.org/10.1515/rnam-2024-0030
Saved (final revised paper)
Latest update: 28 May 2026
Short summary
A new approach for modeling photolysis rates (J values) in atmospheres with fractional cloud cover has been developed and is implemented as Cloud-J – a multi-scattering eight-stream radiative transfer model for solar radiation based on Fast-J. Using observations of the vertical correlation of cloud layers, Cloud-J provides a practical and accurate method for modeling atmospheric chemistry, which can be extended to solar heating rates.
A new approach for modeling photolysis rates (J values) in atmospheres with fractional cloud...
